gh-issue

gh-issue is a skill for Claude Code from phel-lang/phel-lang. It costs 19 tokens per session (1,108 once invoked), scanned A, original, MIT.

A workflow for taking a GitHub issue, understanding its description and comments, creating an appropriate branch, implementing the change with TDD—writing tests before or alongside the code—and opening a pull request for review.

In plain words
What is it for?
Use it to process one GitHub issue from setup through planning, implementation, testing, and pull-request creation.
Why use it?
It turns an issue into a repeatable development process and ensures that later maintainer comments and edge cases are included in the requirements.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to process one GitHub issue from setup through planning, implementation, testing, and pull-request creation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/phel-lang/phel-lang/gh-issue
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add phel-lang/phel-lang --skill gh-issue
Clone the repo
git clone --depth 1 https://github.com/phel-lang/phel-lang

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gh-issue

README.md
[![agentmods](https://agentmods.dev/badge/skills/phel-lang/phel-lang/gh-issue/github.svg)](https://agentmods.dev/skills/phel-lang/phel-lang/gh-issue)
Your own site
<a href="https://agentmods.dev/skills/phel-lang/phel-lang/gh-issue"><img src="https://agentmods.dev/badge/skills/phel-lang/phel-lang/gh-issue/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gh-issue

Your own site · 80×15
<a href="https://agentmods.dev/skills/phel-lang/phel-lang/gh-issue"><img src="https://agentmods.dev/badge/skills/phel-lang/phel-lang/gh-issue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,108 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 114
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.01108
Opus 5 $0.00010 $0.00554
Sonnet 5 $0.00004 $0.00222
Haiku 4.5 $0.00002 $0.00111

Measured 9d ago against content hash d16faaafd035, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

gh-issue scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agnostic-ai/skills/gh-issue/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Issue Workflow

Context

Read both the issue body and every comment as requirements input. Maintainer follow-ups frequently add scope, edge cases, or override the original description; when a later comment conflicts with the body, prefer the comment.

!gh issue view ${ARGUMENTS#\#} --json number,url,title,body,labels,assignees,state,comments 2>/dev/null || echo "Provide an issue number"

Instructions

Phase 1: Setup

  1. Parse the issue number from $ARGUMENTS (strip # if present)

  2. Assign yourself if unassigned:

    gh issue edit <number> --add-assignee @me
    
  3. Create a branch from main based on the issue type:

    Determine the branch prefix from labels:

    • bugfix/
    • enhancementfeat/
    • documentationdocs/
    • No label → feat/ (default)

    Branch name format: <prefix><issue-number>-<slug>

    git checkout main && git pull
    git checkout -b <branch-name>
    

Phase 2: Plan

  1. Enter Plan Mode to design the implementation:

    • Explore the codebase to understand affected areas
    • Identify files that need changes
    • Consider the module architecture (Gacela facades, module boundaries)
    • Plan the TDD approach (what tests to write first)
  2. Create implementation plan with:

    • Summary of what the issue requires
    • List of files to create/modify
    • Test strategy (unit, integration)
    • Step-by-step implementation order

Phase 3: Implement

  1. After plan approval, implement following TDD:

    • Write failing tests first
    • Implement minimum code to pass
    • Refactor while keeping tests green
  2. Run full test suite:

    composer test
    

    Fix ALL errors before proceeding.

Phase 4: Ship

  1. Update CHANGELOG.md — add entry under ## Unreleased

  2. Commit changes:

    git add <specific-files>
    git commit -m "<type>(<scope>): <description>
    
    Related to #<issue-number>"
    
  3. Final refactor commit (mandatory, last commit before PR): Re-review every file touched by this change. Look for:

    • duplication introduced by the new code (extract or reuse)
    • dead branches, unused params, leftover debug
    • naming drift vs. surrounding module conventions
    • violations of .claude/rules/php.md, modules.md, compiler.md
    • over-engineering: speculative abstractions, premature interfaces

Read the full file on GitHub · 132 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 132 lines · 19 tokens per session scan A d16faaafd035

Subscribe to this mod's changes

gh-issue is a skill published in the GitHub repository phel-lang/phel-lang (525 stars, last pushed 4d ago), licensed MIT. It adds 19 tokens to every session and 1,108 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.